Data Engineer - NORTHCOM
On-siteColorado Springs, Colorado, United States
Job Summary
Design and deploy scalable, AI-enabled data solutions within the Department of Defense's CDAO ADA IR program by building data pipelines, pre-processing workflows, and machine learning services in secure, containerized environments. Collaborate with product managers, developers, and mission stakeholders to transform raw data into decision-support tools using Python, SQL, and distributed frameworks like Spark and Databricks. Develop and deploy ML models from training to production while ensuring data validation, performance evaluation, and continuous delivery in agile settings. Work onsite at a SCIF to support mission-critical analytics for Combatant Commands.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 3+ years of experience in data engineering or software engineering
- demonstrated experience in designing and managing complex data pipelines
- equivalent relevant work experience
- Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications
- Must be able to work onsite at a SCIF
Desired Qualifications
- masters degree
- 4+ years of experience in applied data science
- Palantir Foundry development
- data pipeline development
- Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark)
- Experience developing ML models from training to deployment using industry-standard tools and libraries (e.g., scikit-learn, TensorFlow, XGBoost)
- Familiarity with MLOps, API development, and secure cloud-based environments (e.g., AWS, Azure, Palantir Foundry)
- Strong understanding of data validation, model testing, and performance evaluation techniques
- Excellent technical communication skills, with the ability to explain complex concepts to non-technical audiences
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